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Decentralized Resource Sharing Platform for Mobile Edge Computing

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6GN for Future Wireless Networks (6GN 2020)

Abstract

Recently, the Internet of Things (IoT) technology is booming in the industrial field. More and more industrial devices begin to connect to the internet. Compared with cloud computing, edge computing can well shorten the delay time on information transmission and improve the Quality of Service (QoS) of task computing, which promotes the development of the industrial Internet of things (IIoT) to some extent. The state-of-the-art edge computing service providers are specifically designed for customized applications. In our previous work, we proposed a blockchain-based toll collection system for edge resource sharing to improve the utility of these Edge Nodes (ENs). We provide a transparent, quick, and cost-efficient solution to encourage the participation of edge service providers. However, there exists a debatable issue since the system contains a centralized proxy. In this paper, we introduce the consortium blockchain to record the results of the service matching process in order to solve the issue. Besides, we propose a service matching algorithm for IIoT devices to select the optimal node and implement it using smart contract.

This work was supported by Project 61902333 supported by National Natural Science Foundation of China, by the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS).

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Notes

  1. 1.

    http://fisco-bcos.org/.

  2. 2.

    https://github.com/ethereum/solidity.

  3. 3.

    https://github.com/FISCO-BCOS/FISCO-BCOS-DOC/tree/release-2/docs/sdk/python_sdk.

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Correspondence to Wei Cai .

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Zhang, H., Fan, S., Cai, W. (2020). Decentralized Resource Sharing Platform for Mobile Edge Computing. In: Wang, X., Leung, V.C.M., Li, K., Zhang, H., Hu, X., Liu, Q. (eds) 6GN for Future Wireless Networks. 6GN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-63941-9_8

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  • DOI: https://doi.org/10.1007/978-3-030-63941-9_8

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